Unprotected Organic Cations─The Dilemma of Highly Li-Concentrated Ionic Liquid Electrolytes

电解质 化学 离子液体 法拉第效率 无机化学 离子键合 离子 有机化学 电极 物理化学 催化作用
作者
Shaoning Zhang,Shengan Wu,Jinkwang Hwang,Kazuhiko Matsumoto,Rika Hagiwara
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:146 (12): 8352-8361 被引量:22
标识
DOI:10.1021/jacs.3c14110
摘要

Highly Li-concentrated electrolytes have been widely studied to harness their uniquely varying bulk and interface properties that arise from their distinctive physicochemical properties and coordination structures. Similar strategies have been applied in the realm of ionic liquid electrolytes to exploit their improved functionalities. Despite these prospects, the impact of organic cation behavior on interfacial processes remains largely underexplored compared to the widely studied anion behavior. The present study demonstrates that the weakened interactions between cations and anions engender "unprotected" organic cations in highly Li-concentrated ionic liquid electrolytes, leading to the decomposition of electrolytes during the initial charge. This decomposition behavior is manifested by the substantial irreversible capacities and inferior initial Coulombic efficiencies observed during the initial charging of graphite negative electrodes, resulting in considerable electrolyte consumption and diminished energy densities in full-cell configurations. The innate cation behavior is ascertained by examining the coordination environment of ionic liquid electrolytes with varied Li concentrations, where intricate ionic interactions between organic cations and anions are unveiled. In addition, anionic species with high Lewis basicity were introduced to reinforce the ionic interactions involving organic cations and improve the initial Coulombic efficiency. This study verifies the role of unprotected organic cations while highlighting the significance of the coordination environment in the performance of ionic liquid electrolytes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
善学以致用应助Lv采纳,获得30
刚刚
uii完成签到,获得积分10
2秒前
5秒前
锦云发布了新的文献求助10
6秒前
犄角旮旯发布了新的文献求助20
7秒前
苜蓿完成签到,获得积分10
8秒前
jq完成签到,获得积分10
8秒前
顺心凡之完成签到,获得积分10
9秒前
tianhualefei发布了新的文献求助10
9秒前
Orange应助蚕豆采纳,获得10
13秒前
14秒前
酷波er应助阿萨姆采纳,获得10
15秒前
阳光的忆文完成签到 ,获得积分10
15秒前
李健的小迷弟应助苜蓿采纳,获得10
15秒前
wlnhyF完成签到,获得积分10
16秒前
科研通AI6.4应助zsj采纳,获得30
18秒前
陈志红发布了新的文献求助10
19秒前
yeah发布了新的文献求助10
20秒前
FashionBoy应助guosien采纳,获得10
21秒前
粗心的迎梦完成签到 ,获得积分10
22秒前
锦云完成签到,获得积分10
23秒前
23秒前
黎明完成签到,获得积分10
25秒前
Evan完成签到,获得积分10
29秒前
斤斤发布了新的文献求助30
29秒前
田国兵完成签到,获得积分20
30秒前
30秒前
昂口3完成签到 ,获得积分10
33秒前
大葱鸭发布了新的文献求助20
34秒前
橙橙发布了新的文献求助10
34秒前
QJH发布了新的文献求助10
35秒前
Zzz完成签到,获得积分10
36秒前
36秒前
陈志红完成签到,获得积分10
37秒前
38秒前
41秒前
斤斤完成签到,获得积分10
41秒前
11发布了新的文献求助10
43秒前
45秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6348968
求助须知:如何正确求助?哪些是违规求助? 8164135
关于积分的说明 17176595
捐赠科研通 5405479
什么是DOI,文献DOI怎么找? 2862019
邀请新用户注册赠送积分活动 1839808
关于科研通互助平台的介绍 1689072